In which of the following situations can multiple regression be performed? Select all that apply.predicting the current salary of an employee, given the initial salary and the number of years the employee has been in his or her current positionpredicting the number of home runs a baseball player will hit in the next season, given the number of home runs the player hit in the previous season and the number of doubles the player hit in the previous seasonpredicting the number of sodas sold at a concert, given the attendance at a gamepredicting the number of cans of chicken noodle soup sold at a supermarket, given the number of flu cases in the past month

Regression models : are used to describe relationships between variables by fitting a line to the observed data. Regression allows you to estimate how a dependent variable changes as the independent variable(s) change. Multiple linear regression : is used to estimate the relationship between two or more independent variables and one dependent variable.Answer : The situations can multiple regression be performed are : (i) predicting the current salary of an employee, given the initial salary and the number of years the employee has been in his or her current position. Here, we estimate the current salary of an employee based on initial salary and number of years work. i.e. dependent variable = current salary Independent variables = initial salary, numbers of year work (ii) predicting the number of home runs a baseball player will hit in the next season, given the number of home runs the player hit in the previous season and the number of doubles the player hit in the previous season. Here, we estimate the number of home runs in the next season based on number of home runs in the previous season and number of double in previous season. i.e Dependent variable = number of home runs in the next season. Independent variables = number of home runs in previous season, number of double in previous season.